Automatic detection of crohn disease in wireless capsule endoscopic images using a deep convolutional neural network.
Appl. Intell., May, 2023
A new deep-learning strawberry instance segmentation methodology based on a fully convolutional neural network.
Neural Comput. Appl., 2021
Application of data-based solar field models to optimal generation scheduling in concentrating solar power plants.
Math. Comput. Simul., 2021
A new deep learning method for blood vessel segmentation in retinal images based on convolutional kernels and modified U-Net model.
Comput. Methods Programs Biomed., 2021
A fast and accurate deep learning method for strawberry instance segmentation.
Comput. Electron. Agric., 2020
An exudate detection method for diagnosis risk of diabetic macular edema in retinal images using feature-based and supervised classification.
Medical Biol. Eng. Comput., 2018
Concentrated solar power plant simulator for education purpose.
Proceedings of the IEEE International Conference on Industrial Technology, 2018
A lifetime-extending model-based predictive control for scheduling in concentrating solar power plants.
Proceedings of the IEEE International Conference on Industrial Technology, 2018
Scheduling in concentrating solar power plants based on mixed-integer optimization and binary-regularization.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Scheduling in Concentrating Solar Power Plants Based on Model Predictive Control and Binary-Regularization Methods.
Proceedings of the IEEE Conference on Control Technology and Applications, 2018
A tool for automated diabetic retinopathy pre-screening based on retinal image computer analysis.
Comput. Biol. Medicine, 2017
Microaneurysm Candidate Extraction Methodology in Retinal Images for the Integration into Classification-Based Detection Systems.
Proceedings of the Bioinformatics and Biomedical Engineering, 2017
Automated Detection of Diabetic Macular Edema Risk in Fundus Images.
Proceedings of the Bioinformatics and Biomedical Engineering, 2016
Inter-observer Reliability and Agreement Study on Early Diagnosis of Diabetic Retinopathy and Diabetic Macular Edema Risk.
Proceedings of the Bioinformatics and Biomedical Engineering, 2016
Obtaining optic disc center and pixel region by automatic thresholding methods on morphologically processed fundus images.
Comput. Methods Programs Biomed., 2015
Combined stochastic and deterministic interval predictor for time-varying systems.
Proceedings of the 23rd Mediterranean Conference on Control and Automation, 2015
Locating the fovea center position in digital fundus images using thresholding and feature extraction techniques.
Comput. Medical Imaging Graph., 2013
Locating the Optic Disc in Retinal Images Using Morphological Techniques.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2013
A Function for Quality Evaluation of Retinal Vessel Segmentations.
IEEE Trans. Medical Imaging, 2012
A New Supervised Method for Blood Vessel Segmentation in Retinal Images by Using Gray-Level and Moment Invariants-Based Features.
IEEE Trans. Medical Imaging, 2011
Detecting the Optic Disc Boundary in Digital Fundus Images Using Morphological, Edge Detection, and Feature Extraction Techniques.
IEEE Trans. Medical Imaging, 2010